Larry Dong


Biostatistics PhD Student @ DLSPH

I am a fourth year PhD student in biostatistics at the Dalla Lana School of Public Health at the University of Toronto. My research interests revolve around dynamic treatment regimes (DTRs) and Bayesian methods and, on the software side, I take interest in making Bayesian software ``better’’. For my PhD, I am jointly supervised by Dr. Olli Saarela and Dr. Eleanor Pullenayegum and my thesis focuses on Bayesian estimation of optimal DTRs using irregularly observed data. I also contribute regularly to open-source packages, notably in the PyMC and Aesara ecosystem and, as of November 2022, I became a core developper of PyMC. I am also a GitHub Campus Expert and a co-founder of the Health Data Working Group.

Prior to my PhD studies, I have pursued a dual Master’s program: one MSc in biostatistics at McGill University and the other in Public Health Data Science at the University of Bordeaux. I was jointly supervised by Dr. Erica Moodie and Dr. Rodolphe Thiébaut, both of whom I look up to greatly and attribute a lot of my personal and professional growth.

In my free time, I enjoy coding in Python, skateboarding and eating copious amounts of fruit (especially grapes, bananas, oranges and watermelon). Feel free to connect with me! Tu peux aussi m’écrire en français :)


Sep 25, 2023 I will lead a HDWG workshop for first-time contributors to OSS. Please register here if you’re interested in attending!
Sep 14, 2023 My Master’s thesis has been published in the Annals of Applied Statistics!
Sep 1, 2023 PyMC’s v5 paper has been published in PeerJ Computer Science! Thanks to the pymc-devs team for this collaborative effort.
Aug 5, 2023 I will be attending JSM2023 in Toronto.
Jun 20, 2023 I will be attending StanCon @ WashU in St. Louis!
May 28, 2023 I will be attending 2023 SSC Annual Meeting in Ottawa.
Jan 24, 2023 I will join a panel organized by Data Umbrella with other previous GSoC participants. You can register for this event on MeetUp.
Oct 31, 2022 I lead a follow-up workshop for collaborative tools using Git and GitHub.